Marcus Kratz
PartnerProfile
| Profile Type | Partner |
| First Name* | Marcus |
| Last Name* | Kratz |
| Nickname* | Marcus |
| Country and City of Residence * | Duesseldorf |
| My Hourly Rate in $ | 140.36 |
| About me: | I am an expert in Finite Element Simulation using COMSOL Multiphysics and Artificial Intelligence.I support high-tech companies in designing and optimizing complex processes and products. My core expertise lies in thermomechanical and electrodynamic simulations as well as in the analysis of manufacturing processes in semiconductor technology (e.g., PVD, CVD, epitaxy). What sets me apart is the integration of FEM with AI-based methods such as Machine Learning and surrogate modeling. I also have hands-on experience with neural network–based simulation approaches. I possess strong programming skills in Python and Java, combined with a broad physical background in electrodynamics, structural and fluid mechanics, semiconductor physics, and thermodynamics. As an experienced leader, I know how to manage projects efficiently, deliver reliable results quickly, and present them convincingly to stakeholders.
In addition, I offer professional training courses and seminars on the practical use of COMSOL Multiphysics, tailored to engineers and researchers who want to deepen their simulation expertise or integrate COMSOL more effectively into their development processes. |
Skills
| Language Skills* | English, German |
| Matlab* | Intermediate |
| Simulink* | Intermediate |
| Robotics and Automation* | Intermediate |
| Electric Circuits* | Intermediate |
| Matlab Image/Video/Audio Processing* | Beginner |
| Finite-Elemente-Analysis (FEA, FEM)* | Expert |
| Computational Fluid Dynamics (CFD)* | Expert |
| Computer Aided Design (CAD)* | Intermediate |
| Java* | Intermediate |
| Python* | Expert |
| C, C++* | Intermediate |
| Visual Basic* | Beginner |
| Data Science | AI* | Expert |
| Description of skills | Core practice spans COMSOL Multiphysics and MATLAB-based simulation for FEM, thermomechanical studies, and electrodynamic modelling. Work also covers Simulink workflows, Electric Circuits, and engineering analysis linked to semiconductor manufacturing topics such as PVD, CVD, and epitaxy. Python, Java, and Data Science | AI support surrogate modelling, neural-network methods, and simulation-oriented automation, with further grounding in CFD, CAD, Robotics and Automation, C, and C++. Additional familiarity extends to Matlab Image/Video/Audio Processing for signal-focused analysis and media-oriented workflows. Lighter work in Visual Basic supports small utilities, interface scripting, and legacy tool adaptation. |
